Dynamics and Control of Complex Social Networks

Project Member(s): Gabrys, B., Musial-Gabrys, K.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2019

Summary: Dynamics and control of complex social networks. This project aims to understand the extent to which a given complex social network can be controlled and how different control mechanisms influence network structure and dynamics. There is a great interest in controlling complex networks including social networks as it might contribute to solving important societal challenges. Using gender imbalance, minority marginalisation, and criminal behaviour as case studies, this project will investigate the direction of networks controllability and mechanisms that would enable alteration of the network in a desired way. This project will have an impact on our current understanding of network's behaviour, and will contribute to solving a range of societal challenges.

Publications:

Brodka, P, Musial, K & Jankowski, J 2020, 'Interacting Spreading Processes in Multilayer Networks: A Systematic Review', IEEE Access, vol. 8, pp. 10316-10341.
View/Download from: Publisher's site

Wahid-Ul-Ashraf, A, Budka, M & Musial, K 2019, 'Simulation and Augmentation of Social Networks for Building Deep Learning Models'.

FOR Codes: Expanding Knowledge in the Information and Computing Sciences, Pattern Recognition and Data Mining, Simulation and Modelling, Modelling and simulation, Graph, social and multimedia data

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.